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<div class="title">ClusterAggregation.Datum.CEuclideanDistanceSimilarityFunction Class Reference</div>  </div>
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Inheritance diagram for ClusterAggregation.Datum.CEuclideanDistanceSimilarityFunction:</div>
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<area href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html" alt="ClusterAggregation.Datum.ISimilarity" shape="rect" coords="0,0,378,24"/>
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<p><a href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function-members.html">List of all members.</a></p>
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<tr><td colspan="2"><h2><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a69390a275cd48dae7fa5159fb590269a"><td class="memItemLeft" align="right" valign="top">double[,]&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function.html#a69390a275cd48dae7fa5159fb590269a">getMatrix</a> (<a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] arg)</td></tr>
<tr class="memitem:abb09787cf705f8a07f7b1d7ddd6bd9d8"><td class="memItemLeft" align="right" valign="top">double[,]&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function.html#abb09787cf705f8a07f7b1d7ddd6bd9d8">getFullMatrix</a> (<a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[] arg)</td></tr>
<tr class="memitem:a61ff3d5627b38e02cf59347ce0a4efb3"><td class="memItemLeft" align="right" valign="top">double&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function.html#a61ff3d5627b38e02cf59347ce0a4efb3">similarity</a> (<a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a> a, <a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a> b)</td></tr>
</table>
<hr/><a name="details" id="details"></a><h2>Detailed Description</h2>
<div class="textblock">
<p>Definition at line <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html#l00008">8</a> of file <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html">CEuclideanDistanceSimilarityFunction.cs</a>.</p>
</div><hr/><h2>Member Function Documentation</h2>
<a class="anchor" id="abb09787cf705f8a07f7b1d7ddd6bd9d8"></a>
<div class="memitem">
<div class="memproto">
      <table class="memname">
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          <td class="memname">double [,] <a class="el" href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function.html#abb09787cf705f8a07f7b1d7ddd6bd9d8">ClusterAggregation.Datum.CEuclideanDistanceSimilarityFunction.getFullMatrix</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[]&#160;</td>
          <td class="paramname"><em>arg</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div>
<div class="memdoc">
<p>get the matrix of relations between the given dataset. must be a full matrix, [i, j] = [j, i] </p>
<dl class="params"><dt><b>Parameters:</b></dt><dd>
  <table class="params">
    <tr><td class="paramname">arg</td><td>(<a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[]) [IN] dataset for which to construct the matrix. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns:</dt><dd>distance matrix </dd></dl>

<p>Implements <a class="el" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html#a00d3c6da10ad3b7c9326c04164bdf28c">ClusterAggregation.Datum.ISimilarity</a>.</p>

<p>Definition at line <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html#l00026">26</a> of file <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html">CEuclideanDistanceSimilarityFunction.cs</a>.</p>

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<div class="memitem">
<div class="memproto">
      <table class="memname">
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          <td class="memname">double [,] <a class="el" href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function.html#a69390a275cd48dae7fa5159fb590269a">ClusterAggregation.Datum.CEuclideanDistanceSimilarityFunction.getMatrix</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[]&#160;</td>
          <td class="paramname"><em>arg</em></td><td>)</td>
          <td></td>
        </tr>
      </table>
</div>
<div class="memdoc">
<p>get the matrix of relations between the given dataset. might not be a full matrix (may be upper right matrix instead). </p>
<dl class="params"><dt><b>Parameters:</b></dt><dd>
  <table class="params">
    <tr><td class="paramname">arg</td><td>(<a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>[]) [IN] dataset for which to construct the matrix. </td></tr>
  </table>
  </dd>
</dl>
<dl class="section return"><dt>Returns:</dt><dd>distance matrix </dd></dl>

<p>Implements <a class="el" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html#a81714473aba6a121d719b547e985b747">ClusterAggregation.Datum.ISimilarity</a>.</p>

<p>Definition at line <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html#l00010">10</a> of file <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html">CEuclideanDistanceSimilarityFunction.cs</a>.</p>

</div>
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<a class="anchor" id="a61ff3d5627b38e02cf59347ce0a4efb3"></a>
<div class="memitem">
<div class="memproto">
      <table class="memname">
        <tr>
          <td class="memname">double <a class="el" href="class_cluster_aggregation_1_1_datum_1_1_c_euclidean_distance_similarity_function.html#a61ff3d5627b38e02cf59347ce0a4efb3">ClusterAggregation.Datum.CEuclideanDistanceSimilarityFunction.similarity</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>&#160;</td>
          <td class="paramname"><em>a</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>&#160;</td>
          <td class="paramname"><em>b</em>&#160;</td>
        </tr>
        <tr>
          <td></td>
          <td>)</td>
          <td></td><td></td>
        </tr>
      </table>
</div>
<div class="memdoc">
<p>calculate the similarity or the distance between 2 points of data. </p>
<dl class="params"><dt><b>Parameters:</b></dt><dd>
  <table class="params">
    <tr><td class="paramname">a</td><td>(<a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>) [IN] </td></tr>
    <tr><td class="paramname">b</td><td>(<a class="el" href="class_cluster_aggregation_1_1_datum_1_1_a_data.html">AData</a>) [IN] </td></tr>
  </table>
  </dd>
</dl>

<p>Implements <a class="el" href="interface_cluster_aggregation_1_1_datum_1_1_i_similarity.html#a41a7305544a32ec0abbb5b6be73ce23a">ClusterAggregation.Datum.ISimilarity</a>.</p>

<p>Definition at line <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html#l00042">42</a> of file <a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html">CEuclideanDistanceSimilarityFunction.cs</a>.</p>

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<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="_c_euclidean_distance_similarity_function_8cs_source.html">CEuclideanDistanceSimilarityFunction.cs</a></li>
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